Exact solutions to Waring's problem for finite fields
For generator of the multiplicative group of the field , the discrete logarithm of an element of the field to the base , is that integer , . The -ary digits which represent can be described with extremely simple polynomial forms.
We investigate a -invariant linear code over the finite field where is a group of linear transformations. We show that if is a noncyclic abelian group and , then the code is the sum of the centralizer codes where is a nonidentity element of . Moreover if is subgroup of such that , , then dim is known when the dimension of is known for each subgroup of . In the last few sections we restrict our scope of investigation to a special class of invariant codes, namely affine...
In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy entropy proposed by Pal and Pal. A connection between exponential fuzzy entropy and exponential intuitionistic fuzzy entropy is also established. Some interesting properties of this measure are analyzed. Finally, a numerical example is given to show that...
En esta comunicación, a partir del concepto de energía informacional de Onicescu para variables aleatorias discretas, se da el concepto de energía informacional para cualquier tipo de variables aleatorias como una extensión del anterior basándonos en el análisis no estándar de Robinson (1960). Se estudian sus propiedades y se analiza, en particular, su comportamiento con respecto a la energía informacional de Onicescu en caso de variables aleatorias continuas.
We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizing the multi-information of a set of variables or the mutual information of two subsets of variables, at a lower computation and estimation complexity. We describe the maximizers and their relations to the maximizers of the multi-information and the mutual information.
This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram (EEG).